Insula, dACC/midcingulate cortex, thalamus, sensory cortex, frontoparietal control network, default mode network, autonomic/interoceptive systems
In plain language
Experience is continuously exposed to changes in sensation, bodily state, memory, goals, expectations, and internally generated activity, yet it usually remains coherent enough to form an ongoing lived trajectory. Grey Matter uses the word containment for the distributed processes that keep that trajectory sufficiently bounded, stable, and coherent under perturbation. It does not propose that a single gate or hidden mechanism performs that job.
The framework instead asks researchers to state three things explicitly: what changed, what property of the lived trajectory is being tested, and what relation the measurement actually captures. Report, behavior, physiology, memory, affect, control, and neural dynamics can all provide evidence, but they are not treated as interchangeable with phenomenal experience itself.
Abstract
Conscious experience remains organized despite continuous changes in sensory, bodily, mnemonic, and internally generated information. This article develops Grey Matter, a theory-neutral framework that treats containment as the distributed, mechanistically heterogeneous processes by which an ongoing lived trajectory remains sufficiently bounded, stable, and coherent under perturbation. The framework does not propose a new gate or neural mechanism. Instead, it specifies a measurement architecture: researchers must declare the perturbation, the property of the lived trajectory, and the relation actually measured rather than treating behavior, report, physiology, memory, affect, control, or neural dynamics as interchangeable with phenomenality. Boundedness, stability, and coherence remain open candidate properties with explicit collapse rules. Once phenomenal presence is established, maintenance or termination, selective calibration, retention, and later reflection are treated as optional and separable downstream relations. Mature theories of attention, control, learning, memory, predictive processing, active inference, and neural state-space dynamics retain explanatory priority. Grey Matter survives only when relation typing and trajectory-level analysis add inferential or predictive value beyond those accounts.
Why it matters
Consciousness studies often have to infer properties of experience through measurements taken before, during, or after the experience. The risk is that a downstream consequence such as report, memory, behavioral control, or physiological change silently becomes a stand-in for phenomenality. Grey Matter makes that measurement relation explicit before stronger conclusions are drawn.
The framework also leaves its central candidate properties open. Boundedness, stability, and coherence are not assumed to be universal features that must survive every test. They can collapse independently if a mature account of attention, learning, memory, predictive processing, active inference, or neural dynamics explains the result without requiring the higher-level containment interpretation.
If the architecture adds value, it provides a disciplined way to study how lived experience responds to perturbation while keeping phenomenal presence, maintenance, calibration, retention, and later reflection as distinct empirical questions.